Correlation Analysis of Health Factors of Elderly People in Traditional Miao Dwellings in Western Hunan

Liu, Zhezheng; Li, Zhe; Zhang, Fupeng; Yang, Guanglei; Xie, Lei

doi:10.3390/buildings13061459

Cited by 3 publications

(2 citation statements)

References 42 publications

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“…In addition, while seeking to fulfil the need for spontaneous behavioral activities, older people establish emotional ties with the spatial environment. The health status of older people living in traditional Miao folk houses in western Hunan positively correlated with family, income, daily behaviors, housing, and infrastructure and negatively correlated with age [14]. Sun Xuyang et al analyzed the correlation between behavior and spatial patterns in small-scale public spaces [15].…”

Section: Introductionmentioning

confidence: 99%

Predicting the Health Behavior of Older Adults in Western Hunan Villages Using Machine Learning Algorithms

Tang,

He,

Qiu

et al. 2024

Buildings

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We extracted the spatial characteristics of the health-related behaviors of 1223 older adults of Tujia, Yao, Miao and Dong ethnicity living in 20 villages in western Hunan, considering three dimensions: spontaneously healthy, health-necessary, and mentally healthy behavior. We constructed separate prediction models using logistic regression, support vector machine, categorical boosting, random decision forest, light gradient boosting machine, and extreme gradient boosting. We then combined these models with Shapley additive explanations to complete a global explanatory analysis to explore the correlation between location and the health behaviors of older adults of different ethnicities living in villages. The support vector model and gradient boosting tree models produced the most accurate simulations of the health behaviors of older adults. We found significant differences in the health behaviors of the older adults in the different villages, noting the preferences of the older adults of specific ethnicities. This study provides a reference for the excavation of the health behavior of older adults and the aging design of village spaces.

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Section: Introductionmentioning

confidence: 99%

Predicting the Health Behavior of Older Adults in Western Hunan Villages Using Machine Learning Algorithms

Tang,

He,

Qiu

et al. 2024

Buildings

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“…This study was conducted in China's western Hunan region, i.e., one of the crucial gathering places of traditional villages in China with colorful ethnic architecture and regional characteristics [40,41]. The abovementioned traditional villages fully demonstrate the typical characteristics of Hunan villages in terms of village site selection, street layout, and dwelling types [42,43].…”

Section: Introductionmentioning

confidence: 99%

Study on Fire Prevention in Dong Traditional Villages in the Western Hunan Region: A Case Study of Gaotuan Village

Liu,

Li,

Lin

et al. 2023

Fire

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Fire accidents have been reported frequently in Chinese townships over the past few years, where people’s lives and properties have been subjected to huge losses. As a result, a considerable number of traditional villages have disappeared. In this study, field surveys and on-site monitoring were used to study the village of Gao Tuan, while seven scenarios were set up in Pyrosim for simulation and analysis. As indicated by the results of this study, the hidden dangers of Dong traditional settlements in the western Hunan region were identified in terms of the construction materials, street width, and fire use. The Pyrosim simulation analysis results were as follows: scenarios 1/2 show that by utilizing the topography and layout, the wind speed was reduced layer by layer, which reduced the fire spreading disaster by nearly half; scenarios 3/4/5/6 show that, except for the 1000 mm wide street, the degree of fire spreading was negatively correlated with the width of the street, and the fire could no longer be spread to the other side of the street when it was 8000 mm; and scenario 7 shows that, in the case of a fire in a residential house, it is safer to evacuate the people in the building in a unit within 320 s. Based on the survey and Pyrosim simulation results of fire spreading, the strengths and weaknesses of Gaotuan Village in the face of fire events were analyzed, and targeted recommendations are made based on the study for the Dong traditional settlement in the western Hunan region for fire prevention.

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Geographical characteristics and influencing factors of the health level of older adults in the Yangtze River Economic Belt, China, from 2010 to 2020

Yang,

Gong

2024

PLoS ONE

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The health of older adults is crucial for the overall health of the entire life cycle. Based on population sampling survey data and census data from 131 prefecture level units in the Yangtze River Economic Belt (YREB) during 2010–2020, this study used exploratory spatial data analysis, geographical detector, stepwise regression analysis, and GTWR model to analyze the spatiotemporal pattern and influencing factors of the health level of older adults in the YREB. The results show that the health level of older adults in the YREB slightly increased from 2010 to 2020, with the most significant improvement in the upstream region and the most significant decline in the midstream region. The older adults’ health level in the YREB displays a gradient decreasing pattern of the downstream, midstream, and upstream regions. The health level of older adults in the YREB is influenced by a combination of natural and social environment factors. Areas with lower altitude and moderate humidity climates are more conducive to the health of older adults. The increase in influencing factors such as population migration rate, per capita GDP, average years of education, per capita housing construction area, per capita park green area, and green coverage rate in built-up areas is conducive to improving the health level of older adults, while lower number of health institutions per 1,000 people and higher household support rate are not conducive to improving the health level of older adults. In addition, over time, the health-promoting effect of natural environmental factors is enhanced from 2010 to 2020, and the influence of annual precipitation on shaping the spatial pattern of older adults’ health level became more obvious. Although the promoting effect of population migration on the health level of older adults tends to weaken, it remains the primary factor affecting the spatiotemporal differentiation of older adults’ health level in the YREB. The impact of social development on the health level of older adults has changed from a positive health effect (improvement) to a negative health effect (loss). The health-promoting effect of living environment factors is enhanced. The health-inhibitory effect of household support rate increased, and showed a gradient decreasing pattern from downstream to midstream to upstream. The findings of this study can provide a more in-depth understanding of the spatiotemporal pattern of the health level of older adults in the YREB and the factors influencing it, improve the health level of older adults in the region, and promote the development of healthy and active aging in the YREB, and improve the human health. At the same time, this study also supplements the related research on aging and the health level of the elderly. Firstly, it can provide reference for the research on the health of old adults in other countries and regions around the world. Secondly, it can also provide a basis for research on aging and the health of old adults in cities and counties under YREB.

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Correlation Analysis of Health Factors of Elderly People in Traditional Miao Dwellings in Western Hunan

Cited by 3 publications

References 42 publications

Predicting the Health Behavior of Older Adults in Western Hunan Villages Using Machine Learning Algorithms

Predicting the Health Behavior of Older Adults in Western Hunan Villages Using Machine Learning Algorithms

Study on Fire Prevention in Dong Traditional Villages in the Western Hunan Region: A Case Study of Gaotuan Village

Geographical characteristics and influencing factors of the health level of older adults in the Yangtze River Economic Belt, China, from 2010 to 2020

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